IBM’s AI retention tool was developed with Watson for predicting employee leaving risk and recommended actions for the managers to engage workers
IBM artificial intelligence (AI) technology is now has an accuracy of 95 per cent in predicting employees who are planning to leave their jobs, according to a top company official.
The technology giant receives over 8,000 resumes per day, making it the No. 1 on job-search site for Gen Z applicants on Glassdoor, said Ginni Rometty, CEO, IBM, while speaking at an event, reported CNBC.
However, she said, “That is not the only way the company, which has an employee strength of roughly 350,000, knows who is currently looking for a new position.”
“The best time to get to an employee is before they go,” she added.
Predicting retention of workers
IBM human resources (HR) has got its “predictive attrition program” patented. The program was developed with Watson for predicting employee leaving risk and recommended actions for the managers to engage workers.
During the seven-year tenure of Rometty as CEO of IBM, she has been enhancing its AI work dedicated to the retention of its workers.
The CEO did not explain about ‘the secret recipe’ that enabled the AI to work so efficiently in identifying employees who are about to flight. However, she only said that the tool’s success comes through assessing several data points.
“It took time to convince company management it was accurate,” she stated. However, she claimed that with the AI, IBM has so far saved around US$ 300 million in retention costs.
The AI retention tool, a part of IBM products suite, is developed to transform the traditional method to HR management.
While describing that the traditional HR model needs an overhaul, she said that it is one of the professions where humans require AI to enhance the work.
Since IBM deployed technology more extensively such as cloud services and other modernisation, Rometty said that the technology major has cut down the size of its global HR department by 30 per cent.